| Literature DB >> 29773606 |
Philippe Bonniaud1,2,3, Aurélie Fabre4, Nelly Frossard5,6,7, Christophe Guignabert8,9, Mark Inman10, Wolfgang M Kuebler11, Tania Maes12, Wei Shi13,14, Martin Stampfli10,15, Stefan Uhlig16, Eric White17, Martin Witzenrath18, Pierre-Simon Bellaye19, Bruno Crestani20,21,22, Oliver Eickelberg23, Heinz Fehrenbach24,25, Andreas Guenther26, Gisli Jenkins27, Guy Joos28, Antoine Magnan29, Bernard Maitre30, Ulrich A Maus31, Petra Reinhold32, Juanita H J Vernooy33, Luca Richeldi34, Martin Kolb10.
Abstract
Experimental models are critical for the understanding of lung health and disease and are indispensable for drug development. However, the pathogenetic and clinical relevance of the models is often unclear. Further, the use of animals in biomedical research is controversial from an ethical perspective.The objective of this task force was to issue a statement with research recommendations about lung disease models by facilitating in-depth discussions between respiratory scientists, and to provide an overview of the literature on the available models. Focus was put on their specific benefits and limitations. This will result in more efficient use of resources and greater reduction in the numbers of animals employed, thereby enhancing the ethical standards and translational capacity of experimental research.The task force statement addresses general issues of experimental research (ethics, species, sex, age, ex vivo and in vitro models, gene editing). The statement also includes research recommendations on modelling asthma, chronic obstructive pulmonary disease, pulmonary fibrosis, lung infections, acute lung injury and pulmonary hypertension.The task force stressed the importance of using multiple models to strengthen validity of results, the need to increase the availability of human tissues and the importance of standard operating procedures and data quality.Entities:
Mesh:
Year: 2018 PMID: 29773606 DOI: 10.1183/13993003.02133-2017
Source DB: PubMed Journal: Eur Respir J ISSN: 0903-1936 Impact factor: 16.671